Who Pays When the Robot Is Wrong?

<p>Kim opens this episode holding a letter that has not been written yet. It is a claim denial addressed to a small business owner whose AI tool made a promise the business could not keep, citing the generative AI exclusion that quietly landed inside most business insurance policies in the country this January.</p><p>Nobody has actually received that letter. But the exclusion is real, and almost nobody who turned on an AI receptionist, a quoting tool, or a two-in-the-morning chat window this year has read it.</p><p>Kim and Hal spend the episode answering the question underneath the letter. Not whether to use AI, they settled that a long time ago, but who pays when it is wrong.</p><p>Hal takes the buyer&#39;s chair. An under-automated business isn&#39;t safe, it&#39;s just cheap, and an uninsured AI incident is a hole in the balance sheet that shows up the day you try to sell, refinance, or sleep at night. Kim explains why carriers wrote the exclusion in the first place: they can&#39;t yet price a mistakethat could repeat across a million businesses on the same afternoon. And she walks through why &quot;the software did it&quot; stopped being a defense the moment a tribunal ruled, in the Air Canada chatbot case, that a company owns what its bot says on its own website.</p><p>The fix is smaller than it sounds. Using the reversibility rule from a few episodes back, Kim and Hal draw the line at exactly three doors an AI agent should never open alone: moving money, making a binding promise, and committing the business legally. Everything else, let it run at full speed.</p><p>Kim also credits risk advisor Gregory Marholin, Executive Advisor for Strategy and Growth at AI GuardWorks, whose piece for the Big I&#39;s Virtual University makes the same case from inside the insurance industry: a vendor list answers whoyou&#39;re paying, an AI inventory has to answer where AI is making or influencing a judgment.</p><p>And here&#39;s the honest part. A specialist AI liability insurance market is forming this year, but it&#39;s new, it isn&#39;t standardized, and it isn&#39;t cheap yet. The move isn&#39;t to freeze. It&#39;s to know your exclusion, list your exposure, and gate the three doors that matter. &quot;That&#39;s how you build a technology-enabledsuperpower,&quot; as Kim puts it: not that the tool is smart, but that you&#39;re covered, gated, and deployed anyway.</p><p><strong>In this episode:</strong></p><p>●      The fictional denial letter, and the real endors